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Introduction to Earth Data Science Textbook

Author(s): Jenny Palomino, Leah Wasser

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Summary:
Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior programming knowledge is assumed.

Description

Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior programming knowledge is assumed. In this textbook, you will learn how to analyze and visualize earth and environmental science data using the Python programming language. You will also get familiar with a suite of open source tools that are often used in open reproducible science workflows including bash, Git, GitHub.com, and Jupyter Notebook. This textbook is highly technical, and each chapter covers some aspect of scientific programming and open reproducible science workflows.

This textbook is designed for the Earth Analytics Bootcamp for the Earth Data Analytics Professional Certificate taught by instructors at CU Boulder.

Citation:

Palomino, Jenny, Wasser, Leah, & Joseph, Max. (2019, August 30). earthlab/earth-analytics-intro-to-earth-data-science-textbook: Earth Analytics Intro to Earth Data Science textbook in the Python Programming Language (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.3382163 

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